Summary
Brandon Gower-winter is a research-focused software engineer and PhD candidate with nine years of experience applying machine learning to practical problems, currently investigating adaptive-ensemble methods to mitigate concept drift in malware detection at the University of Cape Town. He teaches advanced C++ and introductory ML courses, having lectured on templates, metaprogramming, neural networks and reinforcement learning, and has supervised multiple capstone projects including automated plagiarism detection services. Comfortable across Java, C#, C++, and Python, he blends strong systems-level programming with academic rigor—publishing on agent-based social simulations and machine learning. His background includes internships at Oracle and a consistently high academic record (MS with 85%), illustrating both industry exposure and research depth. An interesting facet of his profile is the crossover between social simulation expertise and cybersecurity-focused ML research, informing novel approaches to dynamic threat modeling.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at University of Cape Town
English